Publications

* advisees

2025

  1. Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods, Richie Suganda, Tony Tran, Miao Pan, Lei Fan, Qin Lin, and Bin Hu, IEEE International Conference on Robotics and Automation (ICRA), 2025 [Paper]

2024

  1. Safety Augmentation for Volitional Human Locomotion via Lower-Limb Exoskeletons: A Case Study on Balance Control, Miao Yu, Qin Lin, and Ge Lv, IEEE Control Systems Letters (L-CSS), 2024 [Paper]
  2. Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems, Fan Zhang*, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, and Qin Lin, IEEE International Conference on Automation Science and Engineering (CASE), 2024 [Paper]
  3. Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine, Dvij Kalaria*, Qin Lin, and John M. Dolan, IEEE International Conference on Robotics and Automation (ICRA), 2024 [Paper][Video][Project Website]
  4. Quadrotor Fault-Tolerant Control at High Speed: A Model-Based Extended State Observer for Mismatched Disturbance Rejection Approach, Jinfeng Chen*, Fan Zhang, Bin Hu, and Qin Lin, IEEE Control Systems Letters (L-CSS), 2024 [Paper]
  5. Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning, Dvij Kalaria*, Qin Lin, and John M. Dolan, 2024 (under review) [Paper]
  6. Add-on Safe Disturbance Compensation for High-Performance Control of Robotic Systems with Closed Architecture, Fan Zhang*, Jinfeng Chen, Joseph Ahanda, Hanz Richter, Ge Lv, and Qin Lin, 2024 (under review)

2023

  1. Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems, Colman McGuan*, Chansu Yu, and Qin Lin, IEEE Intelligence and Security Informatics (ISI), 2023 [Paper][Video]
  2. Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing, Dvij Kalaria*, Qin Lin, and John M. Dolan, IFAC World Congress, 2023 [Paper][Video]
  3. Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bezier Curves, Srujan Deolasee*, Qin Lin, Jialun Li, and John M. Dolan, American Control Conference (ACC), 2023 [Paper]
  4. Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement, Jinfeng Chen*, Zhiqiang Gao, and Qin Lin, IEEE Conference on Decision and Control (CDC), 2023 [Paper]
  5. Delay-aware Robust Control for Safe Autonomous Driving and Racing, Dvij Kalaria*, Qin Lin, and John M. Dolan, IEEE Transactions on Intelligent Transportation Systems (TITS), 2023 [Paper][Video]

2022

  1. Motion Planning by Search in Derivative Space and Convex Optimization with Enlarged Solution Space, Jialun Li*, Xiaojia Xie, Qin Lin, Jianping He, and John M. Dolan, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 [Paper][Video]
  2. Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions, Emanuel Munoz Panduro*, Dvij Kalaria, Qin Lin, and John M. Dolan, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 [Paper][Video]
  3. Delay-aware Robust Control for Safe Autonomous Driving, Dvij Kalaria*, Qin Lin, and John M Dolan, IEEE Intelligent Vehicles Symposium (IV), oral, selection rate: 10%, 2022 [Paper]

2021

  1. Safe and resilient practical waypoint-following for autonomous vehicles, Qin Lin, Stefan Mitsch, André Platzer, and John M. Dolan, IEEE Control Systems Letters (L-CSS) 2021 [Paper][Video]
  2. Safe planning and control under uncertainty for self-driving, Shivesh Khaitan*, Qin Lin, and John M. Dolan, IEEE Transactions on Vehicular Technology 2021 [Paper][Video]
  3. Jerk-Minimized CILQR for Human-Like Driving on Two-Lane RoadwayOmid Jahanmahin, Qin Lin, Yanjun Pan, and John M. Dolan, IEEE Intelligent Vehicles Symposium (IV) 2021 [Paper]

2020

  1. Measuring similarity of interactive driving behaviors using matrix profile, Qin Lin, Wenshuoa Wang, Yihuan Zhang, and John M. Dolan, American Control Conference (ACC) 2020 [Paper]
  2. Safe planning for self-driving via adaptive constrained ILQR, Yanjun Pan*, Qin Lin, Het Shah, and John M. Dolan, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 [Paper]
  3. Reachflow: An online safety assurance framework for waypoint-following of self-driving cars, Qin Lin, Xin Chen, Aman Khurana, and John M. Dolan, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 [Paper]
  4. Safety verification of a data-driven adaptive cruise controller, Qin Lin, Sicco Verwer, and John M. Dolan, IEEE Intelligent Vehicles Symposium (IV) 2020 [Paper]

2019

  1. Using datasets from industrial control systems for cyber security research and education, Qin Lin, Sicco Verwer, Robert Kooij, and Aditya Mathur, International Conference on Critical Information Infrastructures Security 2019 [Paper]
  2. Intelligent control systems: Learning, interpreting, verification, Ph.D. dissertation [Link]

2018

  1. TABOR: A graphical model-based approach for anomaly detection in industrial control systems, Qin Lin, Sridha Adepu, Sicco Verwer, and Aditya Mathur, Asia conference on computer and communications security (AsiaCCS), acceptance rate: 62/320=20%, 2018 [Paper]
  2. Lane-change intention estimation for car-following control in autonomous drivingYihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, and John M. Dolan, IEEE Transactions on Intelligent Vehicles (TIV) 2018 [Paper]
  3. MOHA: A multi-mode hybrid automaton model for learning car-following behaviors, Qin Lin, Yihuan Zhang, Sicco Verwer, and Jun Wang, IEEE Transactions on Intelligent Transportation Systems (TITS) 2018 [Paper]

2017

  1. A data-driven behavior generation algorithm in car-following scenarios, Yihuan Zhang, Jun Wang, Qin Lin, Sicco Verwer, and John M. Dolan, IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks, 2017 [Paper]
  2. Car-following behavior model learning using timed automata, Yihuan Zhang, Qin Lin, Jun Wang, and Sicco Verwer, IFAC-PapersOnLine 2017 [Paper]
  3. Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata, Xiaoran Liu*, Qin Lin, Sicco Verwer, and Dmitri Jarnikov, Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) Workshop on Learning and Automata (LearnAut) 2017 [Paper]
  4. Learning behavioral fingerprints from netflows using timed automata, Gaetano Pellegrino, Qin Lin, Christian Hammerschmidt, and Sicco Verwer, IFIP/IEEE Symposium on Integrated Network and Service Management (IM) 2017 [Paper]
  5. Learning deterministic finite automata from infinite alphabets, Gaetano Pellegrino, Christian Hammerschmidt, Qin Lin, and Sicco Verwer, International Conference on Grammatical Inference (ICGI) 2017 [Paper]

2016

  1. Interpreting Finite Automata for Sequential Data, Christian Hammerschmidt, Verwer, and Qin Lin, NIPS workshop proceedings 2016 [Paper]
  2. Short-term Time Series Forecasting with Regression Automata, Qin Lin, Christian Hammerschmidt, Gaetano Pellegrino, and Sicco Verwer, Interpretable Machine Learning for Complex Systems: NIPS workshop proceedings 2016 [Paper]

2014

  1. Automatic contour-based road network design for optimized wind farm micrositing, Huajie Gu, Jun Wang, Qin Lin, and Qi Gong, IEEE Transactions on Sustainable Energy (TSE) 2014 [Paper]
  2. Vertically correlated echelon model for the interpolation of missing wind speed data, Qin Lin, and Jun Wang, IEEE Transactions on Sustainable Energy (TSE) 2014 [Paper]
  3. Denoising of wind speed data by wavelet thresholding, Qin Lin, Jun Wang, and Weiting Qiao, Chinese Automation Congress (CAC) 2013 [Paper]